US11099071B2 - Imaging condition evaluation device and imaging condition evaluation method - Google Patents
Imaging condition evaluation device and imaging condition evaluation method Download PDFInfo
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- US11099071B2 US11099071B2 US16/835,371 US202016835371A US11099071B2 US 11099071 B2 US11099071 B2 US 11099071B2 US 202016835371 A US202016835371 A US 202016835371A US 11099071 B2 US11099071 B2 US 11099071B2
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- 238000003384 imaging method Methods 0.000 title claims abstract description 139
- 238000011156 evaluation Methods 0.000 title claims abstract description 61
- 238000001228 spectrum Methods 0.000 claims abstract description 69
- 230000003595 spectral effect Effects 0.000 claims abstract description 61
- 230000003287 optical effect Effects 0.000 claims abstract description 49
- 238000005286 illumination Methods 0.000 claims description 32
- 238000000926 separation method Methods 0.000 claims description 31
- 230000007246 mechanism Effects 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 description 35
- 238000000034 method Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 8
- 230000004048 modification Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 239000006185 dispersion Substances 0.000 description 3
- 235000013305 food Nutrition 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000004186 food analysis Methods 0.000 description 2
- 238000000491 multivariate analysis Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/0289—Field-of-view determination; Aiming or pointing of a spectrometer; Adjusting alignment; Encoding angular position; Size of measurement area; Position tracking
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/10—Arrangements of light sources specially adapted for spectrometry or colorimetry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/12—Generating the spectrum; Monochromators
- G01J3/26—Generating the spectrum; Monochromators using multiple reflection, e.g. Fabry-Perot interferometer, variable interference filters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
Definitions
- the present disclosure relates to an imaging condition evaluation device and an imaging condition evaluation method.
- JP-A-2013-107269 discloses a printing device that measures spectrum information of a print medium, and performs multivariate analysis based on the spectrum information, so as to determine a type of the print medium.
- spectrum information of an analysis target varies according to imaging conditions such as a type of a light source and a posture of a camera. Therefore, in the related art such as JP-A-2013-107269, it is necessary to acquire spectral images of a known sample under various imaging conditions and perform an analysis similar to a main analysis such as multivariate analysis based on each spectral image, so as to search for an imaging condition that can ensure good analysis accuracy. However, since it is necessary to perform the analysis similar to the main analysis every time the imaging condition is varied, it takes a long time to evaluate the plurality of imaging conditions.
- An imaging condition evaluation device includes: a spectrometer configured to capture a spectral image under an arbitrarily set imaging condition; and an evaluation unit configured to set a first region and a second region different from each other in the spectral image, and calculate an evaluation value of the imaging condition based on an optical spectrum of the first region and an optical spectrum of the second region.
- the evaluation unit may be configured to calculate a spectrum separation degree representing a degree of a separation between the optical spectrum of the first region and the optical spectrum of the second region as the evaluation value.
- the evaluation unit may be configured to set the first region in a first object in the spectral image, and set the second region in a second object in the spectral image, the second object being different from the first object.
- the evaluation unit may be configured to set the first region and the second region in the same object in the spectral image.
- the spectrometer may include an illumination unit configured to emit illumination light, and an illumination direction changing mechanism configured to vary a posture of the illumination unit, and the imaging condition is adjusted by the illumination direction changing mechanism changing the posture of the illumination unit.
- the spectrometer may include an imaging unit configured to capture the spectral image, and a changing mechanism configured to vary a posture of the imaging unit, and the imaging condition may be adjusted by the posture of the imaging unit.
- the imaging condition evaluation method includes: a spectral image capturing step of capturing a spectral image under an arbitrarily set imaging condition; a region setting step of setting a first region and a second region different from each other in the spectral image; and an evaluation step of calculating an evaluation value of the imaging condition based on an optical spectrum of the first region and an optical spectrum of the second region.
- FIG. 1 is a block diagram showing a schematic configuration of an analysis device according to an embodiment of the present disclosure.
- FIG. 2 is a schematic diagram showing a schematic configuration of a spectrometer according to this embodiment.
- FIG. 3 is a flowchart for showing an analysis method of the present embodiment.
- FIG. 4 is a schematic diagram showing an example of a spectral image in the present embodiment.
- FIG. 5 is a schematic diagram showing an example of a spectral image in a modification.
- FIG. 1 is a block diagram showing a schematic configuration of an analysis device 1 of the present embodiment.
- the analysis device 1 of the present embodiment includes a spectrometer 10 and a control unit 20 that controls the spectrometer 10 .
- the analysis device 1 is a device that determines a type and a state of an analysis target based on a spectral image I of the analysis target.
- the analysis device 1 has a function of evaluating an imaging condition for capturing the spectral image I as an imaging condition evaluation device of the present disclosure.
- FIG. 2 is a schematic diagram showing a schematic configuration of the spectrometer 10 .
- the spectrometer 10 acquires the spectral image I of a predetermined imaging range, and includes an illumination unit 11 , an incident optical system 12 , an optical filter 13 , and an imaging unit 14 , as shown in FIG. 2 .
- the illumination unit 11 includes a plurality of types of light sources, and a type of light source selected under control of the control unit 20 irradiates the imaging range with illumination light.
- the incident optical system 12 is configured with, for example, a telecentric optical system or the like, and guides the light reflected by an object disposed in the imaging range to the optical filter 13 .
- the optical filter 13 is, for example, a wavelength variable interference filter.
- the optical filter 13 includes a pair of reflection films 131 , 132 that face each other with a gap G interposed therebetween, and an electrostatic actuator 133 including electrodes provided on both reflection films.
- a voltage applied to the electrostatic actuator 133 is controlled, and a dimension of the gap G between the pair of reflection films 131 and 132 varies, so that light having a wavelength corresponding to the dimension is transmitted.
- the imaging unit 14 captures the spectral image I according to an intensity of the light transmitted through the optical filter 13 , and stores the spectral image I in a storage unit 21 described later.
- a CCD or a CMOS may be used as the imaging unit 14 .
- the spectrometer 10 of the present embodiment includes an illumination direction changing mechanism 15 that varies a posture of the illumination unit 11 (illumination direction), and an imaging angle changing mechanism 16 that varies a posture of the imaging unit 14 (imaging angle). These mechanisms are respectively driven under the control of the control unit 20 .
- the imaging condition by the above spectrometer 10 is determined by one or more condition elements.
- the condition elements for determining the imaging condition include a light source type and the illumination direction of the illumination unit 11 , an exposure time and the imaging angle of the imaging unit 14 , and a magnification of the incident optical system 12 .
- the control unit 20 is a device that performs control of the spectrometer 10 and analysis processing, and includes a storage unit 21 and an arithmetic processing unit 22 , as shown in FIG. 1 .
- the storage unit 21 is configured with, for example, a memory, a hard disk drive, and the like.
- the storage unit 21 stores an operating system (OS), various programs, and various types of data for controlling overall operations of the analysis device 1 .
- OS operating system
- programs various programs
- types of data for controlling overall operations of the analysis device 1 .
- the arithmetic processing unit 22 includes, for example, an arithmetic circuit such as a central processing unit (CPU) and a storage circuit.
- the arithmetic processing unit 22 functions as a meter control unit 221 , an analyzing unit 222 , a candidate condition setting unit 223 , an imaging environment adjustment unit 224 , an evaluation unit 225 , and an imaging condition determining unit 226 as illustrated in FIG. 1 by reading and executing the various programs stored in the storage unit 21 .
- the meter control unit 221 controls each unit of the spectrometer 10 to acquire the spectral image I of an object set in the imaging range of the spectrometer 10 .
- the analyzing unit 222 analyzes the analysis target based on the spectral image I of the analysis target captured by the spectrometer 10 .
- the type of analysis by the analyzing unit 222 is not particularly limited, and may be, for example, component analysis, foreign object detection, and the like.
- the candidate condition setting unit 223 , the imaging environment adjustment unit 224 , the evaluation unit 225 , and the imaging condition determining unit 226 cooperatively perform an imaging condition determining method described later.
- the imaging condition determining method of the present embodiment will be described with reference to a flowchart of FIG. 3 .
- the imaging condition determining method of the present embodiment evaluates candidates of the imaging conditions, selects an optimal candidate based on evaluation values of respective candidates, and includes the imaging condition evaluation method of the present disclosure.
- the imaging condition determining method of the present embodiment determines an imaging condition that can suitably determine each spectral spectrum of two objects (a first object X 1 and a second object X 2 ) having different compositions. For example, when analyzing a plurality of foods placed on one plate at the same time, such as food analysis, the imaging condition determining method of the present embodiment can be used to determine an imaging condition that can suitably determine optical spectrum of each food.
- a user places the first object X 1 and the second object X 2 having different compositions in the imaging range of the spectrometer 10 .
- the first object X 1 and the second object X 2 are different types of foods.
- the user may store respective setting positions of the first object X 1 and the second object X 2 in the imaging range of the spectrometer 10 in the storage unit 21 via the operation unit 30 .
- the candidate condition setting unit 223 sets a plurality of imaging candidate conditions based on the input information, and stores the plurality of imaging candidate conditions into the storage unit 21 (Step S 1 ).
- the imaging environment adjustment unit 224 selects an unmeasured imaging candidate condition among the plurality of imaging candidate conditions stored in the storage unit 21 , and controls each unit of the spectrometer 10 based on the imaging candidate condition.
- the imaging environment adjustment unit 224 adjusts imaging environment by the spectrometer 10 according to the imaging candidate conditions (Step S 2 ).
- the imaging environment adjustment unit 224 controls the illumination direction changing mechanism 15 and the imaging angle changing mechanism 16 based on the imaging candidate conditions.
- the imaging candidate conditions are not limited thereto, and may be a combination including the light source type of the illumination unit 11 , the exposure time of the imaging unit 14 , and the like.
- the meter control unit 221 controls the spectrometer 10 to capture the spectral image I including the first object X 1 and the second object X 2 (step S 3 ; spectral image capturing step).
- the optical filter 13 transmits light having a wavelength corresponding to the voltage applied to the electrostatic actuator 133 among the lights reflected respectively by the first object X 1 and the second object X 2 .
- the wavelength of the light transmitted through the optical filter 13 is sequentially varied.
- the imaging unit 14 captures the spectral image I by lights of respective wavelengths transmitted through the optical filter 13 , and stores the spectral image I in the storage unit 21 .
- FIG. 4 is a schematic diagram showing an example of the spectral image I in the present embodiment.
- the evaluation unit 225 acquires the spectral image I captured in step S 3 from the spectrometer 10 , and sets a first region A 1 and a second region A 2 different from each other in the spectral image I, as shown in FIG. 4 (step S 4 ; region setting step).
- the evaluation unit 225 sets the first region A 1 in an arrangement range of the first object X 1 in the spectral image I, and sets the second region A 2 in an arrangement range of the second object X 2 in the spectral image I.
- the position information of the first object X 1 and the second object X 2 stored in the storage unit 21 in advance may be used, or image recognition technology may be used. Sizes (numbers of pixels) of the first region A 1 and the second region A 2 can be set arbitrarily.
- the evaluation unit 225 calculates an evaluation value of the imaging condition based on an optical spectrum of the first region A 1 and an optical spectrum of the second region A 2 (step S 5 ; evaluation step).
- a spectrum separation degree is used as the evaluation value of the imaging condition.
- the spectrum separation degree indicates a degree of a separation between the optical spectrum of the first region A 1 and the optical spectrum of the second region A 2 in the spectral image I.
- the spectrum separation degree can be calculated by calculating the separation degree between the first region A 1 and the second region A 2 for each wavelength of the spectral image I and adding the separation degree calculated for each wavelength.
- a spectrum separation degree S can be calculated by the following equation (1).
- the number of pixels in the first region A 1 is ⁇ 1
- the number of pixels in the second region A 2 is ⁇ 2
- an average of the spectrum at a wavelength ⁇ is defined as m ⁇ 1
- a dispersion of the spectrum at the wavelength ⁇ is defined as ⁇ ⁇ 1 2
- an average of the spectrum at the wavelength ⁇ is m ⁇ 2
- a dispersion of the spectrum at the wavelength ⁇ is defined as ⁇ ⁇ 2 2 .
- an average of the spectrum at the wavelength ⁇ is m ⁇ t , and a dispersion thereof is defined as ⁇ ⁇ t 2 .
- the wavelength ⁇ is set at a predetermined interval in an arbitrary wavelength range, for example.
- the spectrum separation degree S can also be calculated by the following equation (2).
- the equation (2) is a calculation method in consideration of freedom of data. That is, in the equation (2), an inter-region freedom is defined as f B , and an intra-region freedom is defined as f w .
- the inter-region freedom f B is obtained by subtracting 1 from the number of regions set in the spectral image I
- the intra-region freedom f w is obtained by subtracting the number of regions from the total number of pixels in the total region.
- the number of regions set in the spectral image I is two.
- the method for calculating the spectrum separation degree S is not limited to the example described above, and any equation can be used.
- the evaluation unit 225 stores the spectrum separation degree S calculated above in the storage unit 21 in association with the imaging candidate condition.
- the imaging condition determining unit 226 determines whether or not spectrum separation degrees S are calculated under all imaging candidate conditions with respect to the plurality of imaging candidate conditions stored in the storage unit 21 (Step S 6 ).
- step S 6 When it is determined as No in step S 6 , the process returns to step S 2 , and the imaging environment adjustment unit 224 adjusts the imaging condition of the spectrometer 10 based on the imaging candidate conditions whose spectrum separation degree S has not been calculated.
- the imaging condition determining unit 226 selects an imaging candidate condition corresponding to the highest spectrum separation degree S among all the imaging candidate conditions stored in the storage unit 21 , and determines the selected imaging candidate condition as the imaging condition of the main analysis (Step S 7 ).
- the optical spectrum of the first object X 1 and the optical spectrum of the second object X 2 can be suitably determined by using the imaging condition thus determined as the imaging condition of the main analysis. As a result, the analysis accuracy of the entire analysis target including the first object X 1 and the second object X 2 is improved.
- the analysis device 1 of the present embodiment includes the spectrometer 10 that captures the spectral image I in an arbitrary set imaging condition, and the evaluation unit 225 that sets the first region A 1 and the second region A 2 different from each other in the spectral image I, and that calculates the evaluation value of the imaging condition based on the optical spectrum of the first region A 1 and the optical spectrum of the second region A 2 .
- the evaluation unit 225 calculates the spectrum separation degree S representing the degree of the separation between the optical spectrum of the first region A 1 and the optical spectrum of the second region A 2 as the evaluation value of the imaging condition. Particularly, in the present embodiment, the evaluation unit 225 sets the first region A 1 within the arrangement range of the first object X 1 in the spectral image I, and sets the second region A 2 within the arrangement range of the second object X 2 in the spectral image I.
- the spectrum separation degree S indicates the degree of the separation between the optical spectrum of the first object X 1 and the optical spectrum of the second object X 2 .
- the spectrum separation degree S is low, the influence of an external light component and a regular reflection component of the illumination light with respect to the spectral image I is strong, and it is considered that the difference between the optical spectrum of the first object X 1 and the optical spectrum of the second object X 2 is difficult to distinguish.
- the spectrum separation degree S is high, the influence of the external light component or the regular reflection component of the illumination light with respect to the spectral image I is small, and it is considered that a clear difference appears between the optical spectrum of the first object X 1 and the optical spectrum of the second object X 2 . Therefore, an imaging condition with a higher spectrum separation degree S can be evaluated as a more appropriate imaging condition.
- the spectrometer 10 includes the illumination unit 11 that emits illumination light to the first object X 1 and the second object X 2 , and the illumination direction changing mechanism 15 that varies the posture of the illumination unit 11 .
- the spectrometer 10 includes the imaging unit 14 that captures the spectral image I, and the changing mechanism that varies the posture of the imaging unit 14 .
- the above embodiment is searching for an imaging condition in which the optical spectrums of two objects having different compositions can be suitably determined, but the present disclosure is not limited to this. That is, the imaging condition evaluation method of the present disclosure can search for an imaging condition in which the same optical spectrum for the same object is stably acquired, regardless of the region in the imaging range.
- FIG. 5 is a schematic diagram showing an example of the spectral image I in the modification.
- the spectral image I may be acquired by capturing an image of at least one object X.
- the evaluation unit 225 sets the first region A 1 and the second region A 2 within an arrangement range of the same object X in the spectral image I.
- the imaging condition determining unit 226 may determine an imaging candidate condition in which a lowest spectrum separation degree S is calculated among the plurality of imaging candidate conditions as the imaging condition of the main analysis.
- two regions i.e. the first region A 1 and the second region A 2 are set in the spectral image I, but more regions may be set in the spectral image I.
- a third region different from the first region A 1 and the second region A 2 may be set in addition to the first region A 1 and the second region A 2 .
- the spectrum separation degree between the first region A 1 and the second region A 2 , the spectrum separation degree between the second region A 2 and the third region, and the spectrum separation degree between the first region A 1 and the third region may be calculated.
- the spectrum separation degree S is used as the evaluation value of the imaging condition, but the present disclosure is not limited thereto, and any index for evaluating the correlation between the optical spectrum of the first region A 1 and the optical spectrum of the second region A 2 in the spectral image I may be used as the evaluation value.
- the imaging condition evaluation device of the present disclosure is configured as the analysis device 1 , but the present disclosure is not limited thereto.
- the imaging condition evaluation device of the present disclosure may be configured as a device that does not have an analysis function and may be incorporated in an electronic device having other functions.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008289560A (ja) | 2007-05-22 | 2008-12-04 | Olympus Corp | 蛍光内視鏡装置 |
| US20120293801A1 (en) * | 2011-05-20 | 2012-11-22 | Seiko Epson Corporation | Feature value estimation device and corresponding method, and spectral image processing device and corresponding method |
| US20130127946A1 (en) | 2011-11-21 | 2013-05-23 | Seiko Epson Corporation | Printing apparatus and printing method |
| US20150369664A1 (en) | 2013-01-31 | 2015-12-24 | Ventana Medical Systems, Inc. | Systems and methods for calibrating, configuring and validating an imaging device or system for multiplex tissue assays |
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| JP3653588B2 (ja) | 2000-07-26 | 2005-05-25 | 松下電工株式会社 | 建材外観色調検査方法およびその装置 |
| JP2004294358A (ja) | 2003-03-28 | 2004-10-21 | Hitachi High-Technologies Corp | 欠陥検査方法および装置 |
| JP2017040491A (ja) | 2015-08-18 | 2017-02-23 | セイコーエプソン株式会社 | 光学モジュール及び分光装置 |
| JP6834843B2 (ja) | 2017-08-10 | 2021-02-24 | オムロン株式会社 | 画像処理システム、設定支援装置および設定支援プログラム |
| US11263466B2 (en) | 2017-08-22 | 2022-03-01 | Sony Corporation | Feature amount generation device, feature amount generating method, and information processing apparatus and information processing method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008289560A (ja) | 2007-05-22 | 2008-12-04 | Olympus Corp | 蛍光内視鏡装置 |
| US20120293801A1 (en) * | 2011-05-20 | 2012-11-22 | Seiko Epson Corporation | Feature value estimation device and corresponding method, and spectral image processing device and corresponding method |
| US20130127946A1 (en) | 2011-11-21 | 2013-05-23 | Seiko Epson Corporation | Printing apparatus and printing method |
| JP2013107269A (ja) | 2011-11-21 | 2013-06-06 | Seiko Epson Corp | 印刷装置、および印刷方法 |
| US20150369664A1 (en) | 2013-01-31 | 2015-12-24 | Ventana Medical Systems, Inc. | Systems and methods for calibrating, configuring and validating an imaging device or system for multiplex tissue assays |
| JP2018119968A (ja) | 2013-01-31 | 2018-08-02 | ベンタナ メディカル システムズ, インコーポレイテッド | 多重組織検定用の撮像デバイスまたはシステムを較正、構成、および有効性判断するためのシステムおよび方法 |
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| JP7238552B2 (ja) | 2023-03-14 |
| US20200309600A1 (en) | 2020-10-01 |
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